Evidence map›Paper›PMID 32883651›Full record

ArticleJournal of medical Internet research2020

Xigua Video as a Source of Information on Breast Cancer: Content Analysis.

Peng Pan, Changhua Yu, Tao Li, Xilei Zhou, Tingting Dai, Hanhan Tian, Yaozu Xiong

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Peng PanDepartment of Radiation Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu province, Huaian, China.ORCID 0000-0002-5023-7570
Changhua YuDepartment of Radiation Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu province, Huaian, China.ORCID 0000-0002-7935-2222
Tao LiDepartment of Radiation Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu province, Huaian, China.ORCID 0000-0002-7929-1650
Xilei ZhouDepartment of Radiation Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu province, Huaian, China.ORCID 0000-0002-3529-9140
Tingting DaiDepartment of Radiation Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu province, Huaian, China.ORCID 0000-0002-0769-6077
Hanhan TianDepartment of Radiation Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu province, Huaian, China.ORCID 0000-0001-7312-7174
Yaozu XiongDepartment of Radiation Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Jiangsu province, Huaian, China.ORCID 0000-0002-5822-1645

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeeking health information on the internet is a popular trend. Xigua Video, a short video platform in China, ranks among the most accessed websites in the country and hosts an increasing number of videos with medical information. However, the nature of these videos is frequently unscientific, misleading, or even harmful.

objectiveLittle is known about Xigua Video as a source of information on breast cancer. Thus, the study aimed to investigate the contents, quality, and reliability of breast cancer-related content on Xigua Video.

methodsOn February 4, 2020, a Xigua Video search was performed using the keyword "breast cancer." Videos were categorized by 2 doctors based on whether the video content provided useful or misleading information. Furthermore, the reliability and quality of the videos were assessed using the 5-point DISCERN tool and 5-point global quality score criteria.

resultsOut of the 170 videos selected for the study, 64 (37.6%) were classified as useful, whereas 106 (62.4%) provided misleading information. A total of 41.8% videos (71/170) were generated by individuals compared to 19.4% videos (33/170) contributed by health care professionals. The topics mainly covered etiology, anatomy, symptoms, preventions, treatments, and prognosis. The top topic was "treatments" (119/170, 70%). The reliability scores and global quality scores of the videos in the useful information group were high (P<.001). No differences were observed between the 2 groups in terms of video length, duration in months, and comments. The number of total views was higher for the misleading information group (819,478.5 vs 647,940) but did not reach a level of statistical significance (P=.112). The uploading sources of the videos were mainly health care professionals, health information websites, medical advertisements, and individuals. Statistical differences were found between the uploading source groups in terms of reliability scores and global quality scores (P<.001). In terms of total views, video length, duration, and comments, no statistical differences were indicated among the said groups. However, a statistical difference was noted between the useful and misleading information video groups with respect to the uploading sources (P<.001).

conclusionsA large number of Xigua videos pertaining to breast cancer contain misleading information. There is a need for accurate health information to be provided on Xigua Video and other social media; health care professionals should address this challenge.

Indexed as

Breast NeoplasmsChinaFemaleHumansReproducibility of ResultsSocial MediaVideoconferencingbreast cancercontent analysisinternetXigua Video

Identifiers

PMID32883651
PMCPMC7574999

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.